CN102058432A - System for dynamically improving medical image acquisition quality - Google Patents
System for dynamically improving medical image acquisition quality Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5258—Devices using data or image processing specially adapted for radiation diagnosis involving detection or reduction of artifacts or noise
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/54—Control of apparatus or devices for radiation diagnosis
- A61B6/545—Control of apparatus or devices for radiation diagnosis involving automatic set-up of acquisition parameters
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
- G06T7/0014—Biomedical image inspection using an image reference approach
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
Abstract
A system dynamically improves quality of medical images using at least one processing device including an image analyzer, a correction processor and a message generator. The image analyzer automatically parses and analyzes data representing an image of a particular anatomical feature of a patient acquired by a medical image acquisition device to identify defects in the image by examining the data representing the image for predetermined patterns associated with image defects. The correction processor uses a predetermined information map associating image defects with corresponding corrective image acquisition parameters to determine corrected image acquisition parameters for use in re-acquiring an image using the image acquisition device in response to an identified defect. The message generator generates a message for presentation to a user indicating an identified defect and suggesting use of the corrected image acquisition parameters for re-acquiring an image.
Description
This is the provisional application sequence number No.61/260 that is submitted in November, 2009 by people such as S.Zuehlsdorff, 035 non-provisional application.
Technical field
The present invention relates to be used for by the get parms system of the quality of dynamically improving the medical image that obtains by medical imaging devices of the correction image that is identified for obtaining again image.
Background technology
The scope of the quality of the medical image in routine clinical is from receiving very remarkable and depending on that consumingly user knowledge, experience and individual drop into.In many cases, image be suboptimum and comprise operator and the unsatisfied pseudomorphism of commentator aspect and the reading performance of suboptimum that causes image.In commercial environment, the operator of Medical Equipment can ask the suggestion from equipment manufacturers, and this causes experienced personnel's costliness utilization.In many cases, image quality issues is the consequence of user error and unskilled selection getparms.Expert opinion is expensive and usually in that just the needs in checked object are constantly unavailable.Therefore, the method that is used to solve this type of problem usually only can be used as the preparation (fix) that is used for problem and takes place next time.System has solved these defectives and relevant issues in accordance with the principles of the present invention.
Summary of the invention
The image acquiring method that a kind of systematic analysis medical image and identification are subjected to the harm feature of (compromised) picture quality and derivation and present image to the operator (for example, MR, CT scan X ray) proposal change so that make the quality optimization that generates image.System uses at least one treatment facility dynamically to improve the quality of the medical image that is obtained by medical imaging devices.Described at least one treatment facility comprises image analyzer, correction processor and message generator.The data of image of the patient's that expression obtained by medical image acquisition device specific anatomical features are automatically resolved and analyzed to described image analyzer, to come defective in the recognition image by the data of presentation video being carried out check at the predetermined pattern that is associated with image deflects.The predetermined information mapping table (information map) that described correction processor gets parms image deflects and corresponding correction image and is associated comes definite correction image to get parms for using when using described image acquisition equipment to obtain image again in response to the defective of being discerned.Described message generator generates defective that the indication that is used to present to the user discerns and suggestion and uses correction image to get parms to obtain the message of image again.
Description of drawings
Fig. 1 shows the system of the quality that is used for dynamically improving the medical image that is obtained by medical imaging devices in accordance with the principles of the present invention.
Fig. 2 and 3 illustrates in accordance with the principles of the present invention with reference to the reason of zero defect image and the exemplary defectiveness image that shows the typical image pseudomorphism and identification pseudomorphism, defectiveness Image Acquisition and relevant form data for the corrective action that uses when obtaining image again.
Fig. 4 A, 4B, 4C illustrate in accordance with the principles of the present invention the DICOM header (header) that indication is used for the Image Acquisition setting of comparing with the comparable setting of suboptimum that is obtained and defectiveness image.
Fig. 5 illustrates the detection of anatomic landmark of the tram of the anatomical object structure that is used for the evaluate image scanner in accordance with the principles of the present invention.
Fig. 6 illustrates in accordance with the principles of the present invention by being used for the corresponding reason by recognition image defective, mistake and converting the flow chart of the process that system that corrective action dynamically improves the quality of medical image carries out by the error reason that will be discerned to.
Fig. 7 A and 7B illustrate the mapping table that image deflects, error reason and corrective action are associated.
Fig. 8 illustrates in accordance with the principles of the present invention the flow chart of the process that the system by the quality that is used for dynamically improving the medical image that is obtained by medical imaging devices carries out.
The specific embodiment
A kind of system is by being provided with and monitoring and identification automatically and revise image defects and dynamically improve medical image and obtain quality by means of changing image acquisition equipment.Described system automatically analytical table reveals the image of suboptimum quality and the parameter and the Image Acquisition setting of image is compared with the relevant parameter and the setting of known zero defect reference picture.The mode that variation that described system indication (and dynamically realizing in one embodiment) image acquisition equipment is provided with or use imaging application (for example, being used for obtaining the post processing of image) improve Image Acquisition.Inexperienced user has restriction to eliminate aspect the pseudomorphism that may be determined by experienced user aspect recognition imaging pseudomorphism different classes of and deriving step (steps).Described system identification and correction image are obtained wrong and user error also supports the vision facilities that is undertaken by inexperienced user to operate.Described system by under the situation about postponing in the intervention that does not have long-range expert support team with the imaging protocol parameter and be provided with variation advise substantially at once point out the user to make inexperienced user can improve picture quality.
Described system uses the image analyzer that is in (for example on PC, notebook, PDA or other treatment facility) in the freestanding environment or is fully integratible in the image acquisition equipment image reconstruction system to come recognition image defective (or pseudomorphism) automatically.This image analyzer adopts the post processing of image method to discern the pseudomorphism that detects such as ectosome (outer body).In one embodiment, described system uses error log to convert the defective of being discerned (pseudomorphism) to error reason.In error log, report the defective of being discerned, such as the error message of record report and comprise simple files about the customizing messages of the defective that detected.This can include, but is not limited to number, defects property and the order of severity of the defective that detected.This classification can be as querying database to discern the parameter of suitable corrective action.Though under the background of MR imaging system, the present invention is described in this article, this only be exemplary and the principle of the invention also applicable to the imaging system of other type, comprise for example X ray, CT scan and ultrasonic.
Fig. 1 illustrates the system 10 of the quality that is used for dynamically improving the medical image that is obtained by medical imaging devices 40.Handle by what imaging device 40 obtained by graphics processing unit 13 and to comprise desired image pseudomorphism not or to show DICOM and other image 11 that is endangered picture quality.Image header analyser and DICOM header reader 15 retrieving images relevant informations, such as the image mode type (for example magnetic resonance, computerized axial tomography) of equipment 40, human body (for example abdominal part, head), imaging protocol (fast spin echo that for example is used for the black blood preparation of MR imaging) with the dependent imaging parameter (for example, echo time TE, repetition time TR, reversing time TI) and physiological parameter (for example, heart rate, breathing rate).Data base 17 comprises the storehouse of the medical image that is used for dissimilar mode (for example, MR, CT scan, X ray, ultrasonic) and serves as the clinical practice of the golden standard that is used for picture quality and pseudomorphism.
Fig. 4 A, 4B, 4C illustrate the DICOM header of the Image Acquisition setting that indication is used for comparing with the comparable setting of suboptimum that is obtained and defective image.The DICOM pictorial data representation is by pixel data (comprising image) and comprise the clinical criteria of forming about the datagram header of the information of image.Fig. 4 A, 4B, 4C illustrate and comprise that system's 10 employed outstanding projects are for the typical DICOM header information element of comparing with the Image Acquisition setting.DICOM header reader 15 is retrieving images related information items 403,406,409,410,413,415 and 417 for example.Item of information 403,406,409,410,413,415 and 417 comprise mode, manufacturer and model, contrast agent/bolus (bolus) agent, scanning sequence, sequence variants, Scanning Options, MR obtains type, title, labelling, slice thickness, repetition time, echo time, average number, imaging frequency, imaging basic point (imaged nucleus), the echo number, magnetic field intensity, the number of phase code step, echo train length, the percentage ratio sampling, visual field phase place percentage ratio, pixel bandwidth, software version, contrast agent/bolus agent volume, contrast agent/bolus agent accumulated dose, the bolus constituent concentration, triggered time, nominal spacing, heart rate, the cardiac image number, send the coil title, obtain matrix, phase-encoding direction in the plane, the angle of revolution, variable angle of revolution labelling, SAR, the ranks number of dB/dt and image.The DICOM information of being extracted by image header analyser 15 is stored among the data base 17 and is used for discerning the appropriate template reference picture for using with improved Image Acquisition when image and imaging get parms and setting is compared with obtaining by image analyzer 20.
The data of image of the patient's that expression obtained by medical image acquisition device 40 specific anatomical features are automatically resolved and analyzed to image analyzer 20, to come defective in the recognition image by the data of presentation video being carried out check at the predetermined pattern that is associated with image deflects.Image analyzer 20 uses from the predetermined stored knowledge of the Image Acquisition clinical practice of DICOM header extraction and handles data base's 17 data retrieved of having obtained image 11 from expression.According to application, analysis image is so that the potential pseudomorphism or the image quality issues of identification contingent particular types for specific clinical is used.For the MR image, analyser 20 is analyzed from the view data of data base's 17 retrievals with by for example determining noise, picture contrast, aliasing, deviation resonance effect, imaging slice direction/and the position the image, for example determine relevant organ whether enough big visual field wait center (iso-center) to go up correctly to locate and a plurality of section on setting and the concordance (for example, folding parallel image) of parameter for one determine picture characteristics.
The independent item that image grading processor 23 for example uses the tolerance of reference data that image evaluation is tabulated is classified as slight, serious or unacceptable clinically.Fig. 5 illustrates the detection of anatomic landmark of the tram of the anatomical object structure that is used for the evaluate image scanner.Some pseudomorphism can detect by the separate analysis imaging parameters, yet many pseudomorphisms require the content of analysis image to detect pseudomorphism.This analysis may relate to uses indication by the predetermined knowledge of the understanding of the anatomic part of imaging.Analyser 20 provides the automatic detection and relevant visual field of outer element of volume reliably, and uses known method to detect as by indicated circulating type (wrap-around) pseudomorphism of image 536.Analyser 20 becomes prospect and background area with separation of images, makes it possible to use known method to carry out global image analysis at the quality index of defective and for example SNR (signal to noise ratio).Analyser 20 also detects the anatomic landmark of the tram of the anatomical object structure that is used for evaluate image as in image 539 illustrated.In response to the detection of related objective, this information is used for local ground analysis image content to assess other tolerance of contrast noise ratio, edge strength, SNR and indicating image quality.Adopt other known image processing means to assess the existence of the pseudomorphism in the MR image, comprise analysis based on the position, based on the solution of study with detect some pseudo-picture pattern based on image, based on small echo or spectral signature and the analysis that comprises deformation field to characterize the motion of time resolution data centralization.
In Fig. 5, pseudomorphism, candidate's reason of the pseudomorphism in the row 506 and the corrective action that obtains the zero defect image again in the row 509 in the form data identification row 503.Row 516 indicating images 536 illustrate comprise can by correctly to FOV position revise since the surrounding tissue that causes of the incorrect location of field of view (FOV) in phase code around pseudomorphism.Row 519 indicating images 539 illustrate can by the removing patient brace table with dissection is correctly located revise because the distortion that the deviation resonance effect that the eccentric position of target dissection causes is caused.
Determined correction image gets parms and improves the next time image studies of picture quality to be used for multiple scanning or to be used for automatically or to carry out in response to user interactions.In one embodiment, the user can visually determine image artifacts and suboptimum quality and by selecting optimum matching pseudomorphism example to support graphical analysis from the selection of the candidate display of pseudo-picture pattern.In another embodiment, the user can be chosen in the optimization Image Acquisition parameter and the system 10 that use when obtaining one group of sample image and indicate the expection image change in response to the modification of special parameter with text message.For example, correction processor 25 usefulness have been revised MR Image Acquisition parameter and have been pointed out the user for using when obtaining image again, for example comprise using the breathing of holding one's breath and monitoring patient, check arrhythmia, recalibrate mid frequency, use bigger field of view (FOV) and modified imaging parameters value being used for TE, TR with TI, injection contrast agent and use different RF receiver coil.Presenting the candidate image of being advised in clear and definite mode (for example via dialog box) to the user gets parms.Correction processor 25 also provides the trickle hint that does not hinder the user to operate in response to the analysis of being undertaken by unit 20 that the setting of Image Acquisition parameter is identified as suboptimum to the user.For example, can be with being similar to Microsoft Word
TM' checking during key entry ' feature underscore visual indicia or by using another dissimilar perceptual property to present hint such as colored, highlighted, shade, symbol or text.Correction processor 25 is also analyzed determined imaging characteristic and is depended on the application conflicts parameter with identification.Known system is for example determined the parameter setting based on the ability of scanner hardware, to realize this type of setting.On the contrary, in response to the Image Acquisition specificity analysis, correction processor 25 is based on parameter is selected in the fitness of specifying clinical image to use.
Message and report generator 30 generate defective that the indication that is used to present to the user discerns and suggestion and use correction image to get parms to be used for obtaining again the message of image.Unit 30 also provides report, its sum up detected about the problem of picture quality with to modified images corresponding suggestion getparms.In one embodiment, report is simple text output, if perhaps for example the picture quality mark is above certain threshold value, then conduct " pop-up box " becomes and can the person of being operated see by way of caution.In another embodiment, the storage protocol among the image reading apparatus data base 17 is automatically carried out the modification of Image Acquisition parameter.In another embodiment, send the data base's of the remote diagnosis be used to obtain setting and optimization (for example by the user or automatically) and expansion templates image report to service centre.
Fig. 2 and 3 illustrates with reference to the reason of the functional cardiac image of zero defect and the exemplary defectiveness image that shows the typical mr image artifacts and identification pseudomorphism, defectiveness Image Acquisition and relevant form data for the corrective action that uses when obtaining image again.Pseudomorphism usually with by system 10 by such as by means of using known luminance edges and transition detection method to discern band (banding) pseudomorphism come the to compare specific appearance of the image discerned and show with the template image pseudomorphism that is used for comparable clinical practice based on banded variation of the repetition of brightness.Described system also determines that according to the reason that makes pseudomorphism and problem with the predetermined information in the mapping table that corrective action is associated the reason of the picture quality that endangered and setting and other variation is to improve picture quality.
In Fig. 2, image 233 is that zero defect reference picture and image 236,239 and 242 illustrate typical pseudomorphism.Pseudomorphism, candidate's reason of the pseudomorphism in the row 206 and the corrective action that obtains the zero defect image again in the row 209 in the form data identification row 203.Row 216 indicating images 236 illustrate can by obtain image correction during holding one's breath patient again because the bad fuzzy myocardium and the thoracic wall of holding one's breath and causing.Row 219 indicating images 239 illustrate can be by obtaining that image is revised because the heart and the aliasing of the too small cropped that causes of field of view (FOV) (cropped) with amplifying FOV and being modified to as slice position again.Row 221 indicating images 242 illustrate can be by obtaining that image is revised because the aliasing of the heart surrounding tissue that incorrect phase-encoding direction causes with correct phase-encoding direction (for example) again.
In Fig. 3, image 333 is that zero defect reference picture and image 336,339 and 342 illustrate typical pseudomorphism.Pseudomorphism, candidate's reason of the pseudomorphism in the row 306 and the corrective action that obtains the zero defect image again in the row 309 in the form data identification row 303.Particularly, illustrate can be by using the FOV that increases along the PE direction to obtain that image is revised again because along the aliasing of the too small heart surrounding tissue that causes of FOV of phase code (PE) direction for row 316 indicating images 336.Row 319 indicating images 339 illustrate and can obtain that image is revised again because the low signal-to-noise ratio that the use of the inappropriate RF coil in the MR imaging causes by the suitable RF receiver coil that use has a correct coil position.Row 321 indicating images 342 illustrate and can discern that correct carrier frequency is revised because the heterogeneous body blood pond that incorrect RF carrier frequency causes and pulsation pseudomorphism and band pseudomorphism by using correct RF carrier frequency and frequency of utilization to scout (scout).
Fig. 6 illustrates by being used for the corresponding reason by recognition image defective, mistake and converting the flow chart of the process that system that corrective action dynamically improves the medical image quality carries out by the error reason that will be discerned to.The Image Acquisition parameter of echo/repetition time of the DICOM header of image header analyser and DICOM header reader 15 (Fig. 1) analysis image 603 in step 606 and retrieval indication MR image mode type, TrueFISP (true steady state precession fast imaging) pulse train and 1.6/3.2ms.In step 609, analyser 20 is analyzed the content of TrueFISP image 603 and is detected the segmentation of heart left ventricle, the band pseudomorphism that approaches heart and the blood flow pseudomorphism in the blood pond.The predetermined information that image analyzer 20 uses the known image processing method and the specific image characteristic is associated with the known defect type comes recognition image pseudomorphism automatically.For example, in one embodiment, analyser 20 in step 613 by discerning the band pseudomorphism with the graphical analysis that template and characteristics of image is mated search the band of the relative constant luminance that separates relative constant distance in the view data by means of using convergent-divergent, translation and spinfunction that characteristics of image and template known strips pattern are compared.Analyser 20 is also compared with Image Acquisition parameter and DICOM header parameter information with reference to zero defect image and image that the template pseudomorphism characteristic of coupling is shown, and the template pseudomorphism characteristic of described coupling is such as for being used to have the comparable template known strips pattern that obtains the TrueFISP image of characteristic that is used for the comparable clinical practice and the region of anatomy.Also from data base 17 retrieval DICOM header parameter information, and analyser 20 is automatically determined to illustrate too the image 603 near the band of heart and blood flow pseudomorphism.
Use the predetermined information shown in Fig. 7 A and the 7B that the reason of pseudomorphism and this pseudomorphism is complementary in the mapping table that problem reason in the pseudomorphism of analyser 20 in making row 703 and the row 706 and the corrective action in the row 709 are associated.System 10 converts the defective of being discerned to error reason based on the predetermined information that comprises the mapping table that one or more combinations of making defective are related with error reason.Described mapping table can be taked form or another form of form association.Described system also converts error reason to and relates to the corrective action that improves the Image Acquisition parameter that is provided for being undertaken by imaging device Image Acquisition.In step 615, correction processor 25 is used the mapping table of Fig. 7 and is determined corrective action by the Image Acquisition parameter (echo/repetition time of indication MR image mode type, TrueFISP pulse train and 1.6/3.2ms) of image header data analyzer 15 derivation and by the image ratings data that image grading processor 23 is determined.Described ratings data will comprise that ghost image and fuzzy pseudomorphism and imaging parameters are classified as slight, serious and unacceptable clinically.Analyser 20 and correction processor 25 be the data of for example row 712 of use Fig. 7 A when being associated in reason that makes pseudomorphism with this pseudomorphism (incorrect carrier frequency and bad field homogeneity) and corrective action (the change carrier frequency is also carried out the field and had a snack (field shim)).System 10 uses corrective action to provide, and the imaging device 40 of correction image 617 obtains image again.
In one embodiment, system 10 for example uses a computer in pop-up window, and operating system is next to present error message to the user.The character and the order of severity of error message indicating image pseudomorphism.This system determines whether corrective action is known, and if like this, then uses modified specific imaging parameters to be proposed to be used in the corrective action of multiple scanning.In one embodiment, use the imaging device framework check error message of this system, repeat image scanning and automatically revise suitable imaging parameters based on determined corrective action to determine recommendation.
Fig. 8 illustrates the flow chart of the process that the system 10 by the quality that is used for dynamically improving the medical image that is obtained by medical imaging devices carries out.In the step 812 after the beginning at step 811 place, the imaging characteristic that the header that image metadata (for example header) data analyzer 15 is automatically analyzed the image (for example, DICOM compatible image header data) of the patient's who is obtained by the MR medical image acquisition device specific anatomical features uses when obtaining image to be identified in.Metadata comprises about the data of image and comprises for example header data.Header analyser 15 is compared corresponding imaging characteristic in the template header of the imaging characteristic discerned and the zero defect image of specific anatomical features and that image mode equipment that use same type obtains, with Recognition Different.
In step 817, the data of image of the patient's that expression obtained by medical image acquisition device 40 specific anatomical features are automatically resolved and analyzed to image analyzer, to come defective in the recognition image by the data of presentation video being carried out check at the predetermined pattern that is associated with image deflects.Image analyzer 20 in response to type, the imaging characteristic of being discerned of image mode equipment and the data of discerning described specific anatomical features from a plurality of predetermined patterns that a plurality of known defect types are associated automatically select predetermined pattern.The data that presentation video was automatically resolved and analyzed to image analyzer 20 are with identification and (i) band, (ii) aliasing and (iii) at least one pattern that is associated in the deviation resonance effect.The data that presentation video was automatically resolved and analyzed to image analyzer 20 are with identification and (a) noise, (b) picture contrast, (c) slice position, (d) slice direction, (e) fuzzy, (f) ghost image, (g) image homogeneity and (h) at least one defective that is associated in the visual field.The data that presentation video was also automatically resolved and analyzed to pattern analysis instrument 20 are with location, the MR equipment coil of the anatomical features in identification and the image are selected, pulse train timing and a plurality of image concordance of piling up in the section are associated defective.
The employed processor of this paper is to be used to carry out be stored in the machine readable instructions on the computer-readable medium so that the equipment of executing the task, and can comprise any one or its combination in hardware and the firmware.Processor can also comprise that storage can be carried out so that the memorizer of the machine readable instructions of executing the task.Processor uses for executable program or information equipment by operation, analysis, modification, conversion or transmission information and/or comes information is operated by routing information to outut device.Processor can use or comprise for example ability of computer, controller or microprocessor, and uses executable instruction to regulate to carry out the unenforced special function of general purpose computer.Processor can with any other processor coupling (but electrically and/or as comprising executive module), make it possible between it, carry out mutual and/or communication.User interface processor or generator (unit 30 among Fig. 1) are to comprise electronic circuit or software or both combinations so that generate display image or its a part of well known elements.User interface comprise make the user can with one or more display images of processor or miscellaneous equipment interaction.
The employed executable application programs of this paper comprises the code or the machine readable instructions of predetermined function that for example is used in response to user command or input processor being adjusted to those functions of realization such as operating system, environment (context) data-acquisition system or out of Memory processing system.Executable program is the code of segment, the subroutine of code or machine readable instructions or the be used to executable application programs of carrying out one or more particular procedures or other different sections of part.These processes can comprise receive input data and/or parameter, to the input data executable operations that receives and/or dateout and/or the parameter carrying out function and provide the result to obtain in response to the input parameter that receives.The employed user interface of this paper (UI) comprises by user interface processor and generates and make it possible to carry out one or more display images of user interactions with processor or miscellaneous equipment and related data obtains and processing capacity.
UI also comprises executable program or executable application programs.Described executable program or executable application programs are adjusted to user interface processor the signal that generates expression UI display image.These signals are provided for the display device that display image is watched for the user.Described executable program or executable application programs are also from providing the user input device received signal of any other device of data to processor such as keyboard, mouse, light pen, touch screen or permission user.Processor under the control of executable program or executable application programs in response to the signal operation UI display image that receives from input equipment.In this way, the user uses input equipment and display image interaction, makes it possible to carry out user interactions with processor or miscellaneous equipment.The function of this paper and process steps can automatically or completely or partially be carried out in response to user command.Do not having to carry out the activity of automatically carrying out (comprising step) in response to executable instruction or equipment operation under user's the direct movable situation about initiating.
The system of Fig. 1-8 and process are not exclusiveness.Can derive other system and process to realize identical target according to principle of the present invention.Though described the present invention with reference to specific embodiment, be understood that embodiment shown and described herein and change only are for purposes of illustration.Without departing from the scope of the invention, those skilled in the art can realize the modification to current design.Described system is recognition image pseudomorphism and convert error reason to and use predetermined information in the mapping table during for the corrective action that uses when obtaining image again at the pseudomorphism that will be discerned automatically.In addition, in alternative embodiment, described process and application program can be positioned on one or more (for example distributed) treatment facility on the unitary network of linked, diagram 1.Any function that provides in Fig. 1-8, image control and step can completely or partially realize in hardware, software or both combinations.
Claims (22)
1. system that is used for dynamically improving the quality of the medical image that is obtained by medical imaging devices comprises:
At least one treatment facility comprises:
Image analyzer, it is used for automatically resolving and analyze the data of image of the patient's that expression obtained by medical image acquisition device specific anatomical features, with by the described data of representing described image being carried out discern defective in the described image at the check of the predetermined pattern that is associated with image deflects;
Correction processor, it is used to the predetermined information mapping table that uses image deflects and corresponding correction image to get parms and be associated, determines that correction image gets parms for using when using described image acquisition equipment to obtain image again in response to the defective of being discerned; And
Message generator, it is used to generate defective that the indication that is used to present to the user discerns and suggestion and uses described correction image to get parms to obtain the message of image again.
2. according to the system of claim 1, comprise
The image header data analyzer, employed imaging characteristic and the imaging characteristic of being discerned compared with the template header and the corresponding imaging characteristic that image mode equipment that use same type obtains of the image of described specific anatomical features when its header that is used for analyzing described image obtains described image to be identified in, with Recognition Different, and
Described message generator generates the message of the difference that the indication that is used to present to the user discerns.
3. according to the system of claim 2, wherein
Described image header data analyzer generates the message of the difference that the indication that is used to present to the user discerns in response to the difference of being discerned surpasses predetermined threshold.
4. according to the system of claim 2, wherein
Described image header data are the compatible image header data of DICOM.
5. according to the system of claim 1, wherein
Described correction processor makes image deflects get parms with corresponding correction image and describes the predetermined information mapping table that the associated disadvantages message of defective is associated, and
Described message generator generates the message that comprises the defective message that is associated with the defect recognition that uses described predetermined information mapping table to derive that is used to present to the user.
6. according to the system of claim 5, wherein
The occurrence cause of described defective message indication associated disadvantages.
7. according to the system of claim 1, comprise
Vision facilities is provided with the unit, and it is used for getting parms in response to described correction image and automatically upgrades the setting of described image acquisition equipment.
8. according to the system of claim 1, comprise
The image header data analyzer, the imaging characteristic that its header that is used to analyze described image uses when obtaining described image to be identified in, and
Described image analyzer is automatically selected described predetermined pattern in response to the imaging characteristic of being discerned from a plurality of predetermined patterns.
9. according to the system of claim 1, wherein
Described image analyzer in response to the type of image mode equipment automatically from a plurality of predetermined patterns that a plurality of known defect types are associated select described predetermined pattern.
10. according to the system of claim 1, wherein
Described image analyzer is automatically selected described predetermined pattern in response to the data of the described specific anatomical features of identification from a plurality of predetermined patterns.
11. the system according to claim 1 comprises
The image metadata data analyzer, it is used for analyzing the metadata of described image by independent metadata item is compared with corresponding preset range to discern the metadata item that surpasses described scope.
12. the system according to claim 1 comprises
User interface generator, it is used for automatically generating the data of the display image of at least one reason that is illustrated in the defective of visually discerning described image.
13. the system of open claim 2, wherein
Described display image reduces described defective in the described image with the decision action or the prompting user that gets parms.
14. a system that is used for dynamically improving the quality of the medical image that is obtained by the MR medical imaging devices comprises:
At least one treatment facility comprises:
The analysis of image data instrument, the imaging characteristic that uses when its metadata of image that is used for automatically analyzing the patient's who is obtained by the MR medical image acquisition device specific anatomical features is obtained described image to be identified in;
Image analyzer, it is used for automatically resolving and analyze the data of image of the patient's that expression obtained by medical image acquisition device specific anatomical features, with by the described data of representing described image being carried out discern defective in the described image at the check of the predetermined pattern that is associated with image deflects;
Correction processor, the predetermined information mapping table that it is used to use image deflects to get parms with corresponding correction image and is associated with the compatible header imaging characteristic of DICOM determines that correction image gets parms for using when using described image acquisition equipment to obtain image again in response to the defective of being discerned; And
Vision facilities is provided with the unit, and it is used for getting parms in response to described correction image and automatically upgrades the setting of described image acquisition equipment, and
Message generator, it is used to generate defective that the indication that is used to present to the user discerns or specific imaging characteristic and suggestion and uses described correction image to get parms to obtain the message of image again.
15. according to the system of claim 14, wherein
Described analysis of image data instrument is compared corresponding imaging characteristic in the template header of the imaging characteristic discerned and the image of described specific anatomical features and that image mode equipment that use same type obtains, with Recognition Different, and
Described correction processor makes the difference and the predetermined information mapping table that corresponding correction image gets parms and is associated in the compatible header imaging characteristic of the DICOM between defectiveness image and the zero defect image, determines that correction image gets parms for using when using described image acquisition equipment to obtain image again in response to the difference of being discerned.
16. according to the system of claim 14, wherein
The data of the described image of expression are automatically resolved and analyzed to described image analyzer with identification and (a) band, (b) aliasing and (c) at least one pattern that is associated in the deviation resonance effect.
17. according to the system of claim 14, wherein
The data of the described image of expression are automatically resolved and analyzed to described image analyzer with identification and (a) noise, (b) picture contrast, (c) slice position and (d) at least one defective that is associated in the slice direction.
18. according to the system of claim 14, wherein
The data that the described image of expression was automatically resolved and analyzed to described image analyzer with identification with (a) fuzzy, (b) ghost image, (c) image homogeneity and (d) at least one defective that is associated in the visual field.
19. according to the system of claim 14, wherein
The data that the described image of expression was automatically resolved and analyzed to described image analyzer are with the location of the described anatomical features in identification and (a) the described image, (b) MR equipment coil is selected, (c) regularly and (d) at least one defective that is associated in a plurality of image concordance of piling up in the section of pulse train.
20. the system according to claim 14 comprises
Message generator, it is used to generate defective that the indication that is used to present to the user discerns or specific imaging characteristic and suggestion and uses described correction image to get parms to obtain the message of image again.
21. a system that is used for dynamically improving the quality of the medical image that is obtained by medical imaging devices comprises:
At least one treatment facility comprises:
The image header data analyzer, employed imaging characteristic when its compatible header of DICOM of image that is used for automatically analyzing the patient's who is obtained by medical image acquisition device specific anatomical features obtains described image to be identified in, and corresponding imaging characteristic in the template header of the picture characteristics discerned and the image of described specific anatomical features and that image mode equipment that use same type obtains compared, with Recognition Different;
Correction processor, it is used to use compatible header imaging characteristic of DICOM and the predetermined information mapping table that corresponding correction image gets parms and is associated, and comes definite correction image to get parms for using when using described image acquisition equipment to obtain image again in response to the difference of being discerned; And
Message generator, it is used to generate difference that the indication that is used to present to the user discerns and suggestion and uses described correction image to get parms to obtain the message of image again.
22. the system according to claim 21 comprises
Image analyzer, it is used for automatically resolving and analyze the data of image of the patient's that expression obtained by medical image acquisition device specific anatomical features, with by the described data of representing described image being carried out discern defective in the described image at the check of the predetermined pattern that is associated with image deflects;
The predetermined information mapping table that described correction processor gets parms image deflects and corresponding correction image and is associated determines that correction image gets parms for using when using described image acquisition equipment to obtain image again in response to the defective of being discerned; And
Described message generator generates and is used to present to the defective discerned with the indication of protecting and suggestion and uses correction image to get parms to obtain the message of image again.
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| US61/260035 | 2009-11-11 | ||
| US12/897,878 US8520920B2 (en) | 2009-11-11 | 2010-10-05 | System for dynamically improving medical image acquisition quality |
| US12/897878 | 2010-10-05 |
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| CN102058432A true CN102058432A (en) | 2011-05-18 |
| CN102058432B CN102058432B (en) | 2015-07-29 |
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| US20110110572A1 (en) | 2011-05-12 |
| CN102058432B (en) | 2015-07-29 |
| US8520920B2 (en) | 2013-08-27 |
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